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A survey on game playing agents and large models: Methods, applications, and challenges
X Xu, Y Wang, C Xu, Z Ding, J Jiang, Z Ding… - ar** review
P Sweetser - Proceedings of the 6th ACM Conference on …, 2024 - dl.acm.org
Large language models (LLMs) hold interesting potential for the design, development, and
research of video games. Building on the decades of prior research on generative AI in …
research of video games. Building on the decades of prior research on generative AI in …
Language agents with reinforcement learning for strategic play in the werewolf game
Agents built with large language models (LLMs) have shown great potential across a wide
range of domains. However, in complex decision-making tasks, pure LLM-based agents …
range of domains. However, in complex decision-making tasks, pure LLM-based agents …
Fincon: A synthesized llm multi-agent system with conceptual verbal reinforcement for enhanced financial decision making
Large language models (LLMs) have demonstrated notable potential in conducting complex
tasks and are increasingly utilized in various financial applications. However, high-quality …
tasks and are increasingly utilized in various financial applications. However, high-quality …
Agent-pro: Learning to evolve via policy-level reflection and optimization
Large Language Models (LLMs) exhibit robust problem-solving capabilities for diverse
tasks. However, most LLM-based agents are designed as specific task solvers with …
tasks. However, most LLM-based agents are designed as specific task solvers with …
Llm as a mastermind: A survey of strategic reasoning with large language models
This paper presents a comprehensive survey of the current status and opportunities for
Large Language Models (LLMs) in strategic reasoning, a sophisticated form of reasoning …
Large Language Models (LLMs) in strategic reasoning, a sophisticated form of reasoning …
A survey on large language model-based game agents
The development of game agents holds a critical role in advancing towards Artificial General
Intelligence (AGI). The progress of LLMs and their multimodal counterparts (MLLMs) offers …
Intelligence (AGI). The progress of LLMs and their multimodal counterparts (MLLMs) offers …
Towards general computer control: A multimodal agent for red dead redemption ii as a case study
Despite the success in specific tasks and scenarios, existing foundation agents, empowered
by large models (LMs) and advanced tools, still cannot generalize to different scenarios …
by large models (LMs) and advanced tools, still cannot generalize to different scenarios …
See and think: Embodied agent in virtual environment
Large language models (LLMs) have achieved impressive pro-gress on several open-world
tasks. Recently, using LLMs to build embodied agents has been a hotspot. This paper …
tasks. Recently, using LLMs to build embodied agents has been a hotspot. This paper …
Beyond chain-of-thought: A survey of chain-of-x paradigms for llms
Chain-of-Thought (CoT) has been a widely adopted prompting method, eliciting impressive
reasoning abilities of Large Language Models (LLMs). Inspired by the sequential thought …
reasoning abilities of Large Language Models (LLMs). Inspired by the sequential thought …